buildDampedSystem(GaussianFactorGraph damped) const | gtsam::internal::LevenbergMarquardtState | inline |
buildDampedSystem(GaussianFactorGraph damped, const VectorValues &sqrtHessianDiagonal) const | gtsam::internal::LevenbergMarquardtState | inline |
currentFactor | gtsam::internal::LevenbergMarquardtState | |
decreaseLambda(const LevenbergMarquardtParams ¶ms, double stepQuality, Values &&newValues, double newError) const | gtsam::internal::LevenbergMarquardtState | inline |
error | gtsam::internal::NonlinearOptimizerState | |
getCachedModel(size_t dim) const | gtsam::internal::LevenbergMarquardtState | inline |
increaseLambda(const LevenbergMarquardtParams ¶ms) | gtsam::internal::LevenbergMarquardtState | inline |
iterations | gtsam::internal::NonlinearOptimizerState | |
lambda | gtsam::internal::LevenbergMarquardtState | |
LevenbergMarquardtState(const Values &initialValues, double _error, double _lambda, double currentFactor, unsigned int _iterations=0, unsigned int totalNumberInnerIterations=0) | gtsam::internal::LevenbergMarquardtState | inline |
LevenbergMarquardtState(Values &&initialValues, double _error, double _lambda, double currentFactor, unsigned int _iterations=0, unsigned int totalNumberInnerIterations=0) | gtsam::internal::LevenbergMarquardtState | inline |
noiseModelCache | gtsam::internal::LevenbergMarquardtState | mutable |
NonlinearOptimizerState(const Values &values, double error, size_t iterations=0) | gtsam::internal::NonlinearOptimizerState | inline |
NonlinearOptimizerState(Values &&values, double error, size_t iterations=0) | gtsam::internal::NonlinearOptimizerState | inline |
This typedef | gtsam::internal::LevenbergMarquardtState | |
totalNumberInnerIterations | gtsam::internal::LevenbergMarquardtState | |
values | gtsam::internal::NonlinearOptimizerState | |
~NonlinearOptimizerState() | gtsam::internal::NonlinearOptimizerState | inlinevirtual |